Built Environment and Property Crime in Seattle, 1998–2000: A Bayesian Analysis

Stephen A Matthews; Tse-Chuan Yang; Karen L Hayslett; R Barry Ruback

doi:10.1068/a42393

journal article Jun 01, 2010

Built Environment and Property Crime in Seattle, 1998–2000: A Bayesian Analysis

Stephen A Matthews Tse-Chuan Yang Karen L Hayslett R Barry Ruback

Environment and Planning A: Economy and Space Vol. 42 No. 6 pp. 1403-1420 · SAGE Publications

View at Publisher Save 10.1068/a42393

Abstract

The past decade has seen a rapid growth in the use of a spatial perspective in studies of crime. In part this growth has been driven by the availability of georeferenced data, and the tools to analyze and visualize them: geographic information systems, spatial analysis, and spatial statistics. In this paper we use exploratory spatial data analysis (ESDA) tools and Bayesian models to help better understand the spatial patterning and predictors of property crime in Seattle, Washington for 1998–2000, including a focus on built environment variables. We present results for aggregate property crime data as well as models for specific property crime types: residential burglary, nonresidential burglary, theft, auto theft, and arson. ESDA confirms the presence of spatial clustering of property crime and we seek to explain these patterns using spatial Poisson models implemented in WinBUGS. Our results indicate that built environment variables were significant predictors of property crime, especially the presence of a highway on auto theft and burglary.

Topics

No keywords indexed for this article. Browse by subject →

References

84

[1]

10.1068/a38187

[2]

10.1111/j.1745-9125.2001.tb00933.x

[3]

Bayesian image restoration, with two applications in spatial statistics

Julian Besag, Jeremy York, Annie Molli�

Annals of the Institute of Statistical Mathematics 10.1007/bf00116466

[4]

10.4135/9781452220369.n11

[5]

Block R L (1996)

[6]

10.1177/000271620157800107

[7]

Brantingham P J (1991)

[8]

Brantingham P L (1993)

[9]

Approximate Inference in Generalized Linear Mixed Models

N. E. Breslow, D. G. Clayton

Journal of the American Statistical Association 1993 10.1080/01621459.1993.10594284

[10]

10.1068/a38283

[11]

10.1002/9781118685181

[12]

10.1111/j.0006-341x.2002.00280.x

[13]

10.2307/2532003

[14]

Cliff A D (1975)

[15]

Social Change and Crime Rate Trends: A Routine Activity Approach

Lawrence E. Cohen, Marcus Felson

American Sociological Review 10.2307/2094589

[16]

10.1023/a:1007596225550

[17]

10.1023/a:1010303419034

[18]

Cressie N (1991)

[19]

Duncan G J (1997)

[20]

FBI (2009)

[21]

Fotheringham A S (2000)

[22]

Goldsmith V (2000) 10.4135/9781452220369

[23]

10.1111/j.0016-7363.2006.00679.x

[24]

10.1111/j.1745-9125.2004.tb00541.x

[25]

10.1111/j.1360-0443.2006.01405.x

[26]

Harries K D (1974)

[27]

Harries K D (1980)

[28]

10.1177/000312240707200501

[29]

10.1201/9781482268256

[30]

10.1111/j.1365-2524.2005.00595.x

[31]

10.1111/j.1538-4632.2004.tb01132.x

[32]

10.1037/0033-2909.126.2.309

[33]

10.1080/01944369908976070

[34]

10.1023/a:1008929526011

[35]

Massey D S (1993)

[36]

10.1086/449218

[37]

10.1023/a:1007544208712

[38]

Miethe T D (1991)

[39]

Mollie A (1996)

[40]

10.1093/sf/76.1.31

[41]

10.1111/j.1745-9125.2001.tb00932.x

[42]

10.1201/9781420008234.sec2

[43]

Newton A, Bowers K, 2007, “The geography of bus shelter damage: the influence of crime, neighbourhood characteristics and land-use” Internet Journal of Criminology available at http://www.internetjournalofcriminology.com

[44]

Odland J (1988)

[45]

Openshaw S (1984)

[46]

10.1023/a:1007521427059

[47]

O'Sullivan D (2002)

[48]

10.1177/0022427800037001002

[49]

10.1177/000276427602000202

[50]

Rengert G (1996)

Showing 50 of 84 references

Metrics

47

Citations

84

References

Details

Published: Jun 01, 2010
Vol/Issue: 42(6)
Pages: 1403-1420
License: View

Authors

S

Stephen A Matthews

Department of Sociology, Pennsylvania State University, University Park, PA 16802, USA

T

Tse-Chuan Yang

Social Science Research Institute, Pennsylvania State University, University Park, PA 16802, USA

K

Karen L Hayslett

School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX 75080, USA

R

R Barry Ruback

Crime, Law and Justice Program, Department of Sociology, Pennsylvania State University, University Park, PA 16802, USA

Cite This Article

Stephen A Matthews, Tse-Chuan Yang, Karen L Hayslett, et al. (2010). Built Environment and Property Crime in Seattle, 1998–2000: A Bayesian Analysis. Environment and Planning A: Economy and Space, 42(6), 1403-1420. https://doi.org/10.1068/a42393

Built Environment and Property Crime in Seattle, 1998–2000: A Bayesian Analysis

You May Also Like